Triple
T36999157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | three-spined stickleback |
E915304
|
entity |
| Predicate | armorPlates |
P132245
|
FINISHED |
| Object | bony lateral plates |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: bony lateral plates | Statement: [three-spined stickleback, armorPlates, bony lateral plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armorPlates Context triple: [three-spined stickleback, armorPlates, bony lateral plates]
-
A.
hasArmorPlating
chosen
Indicates that one entity is equipped with or covered by protective armor plating in relation to another entity or context.
-
B.
armour
Indicates that an entity provides protective covering or defense for another entity.
-
C.
armorMaterial
Indicates that one entity serves as the material or substance from which another entity’s armor is made.
-
D.
armorType
Indicates the specific category or classification of protective armor associated with an entity.
-
E.
armorVariant
Indicates that one armor is a specific version, type, or modification derived from another armor.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.